Papers
Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud
Yejin Lee, Donghyun Lee, JungUk Hong et al.
“Nothing Abnormal”: Disambiguating Medical Reports via Contrastive Knowledge Infusion
Zexue He, An Yan, Amilcare Gentili et al.
Novel Motion Patterns Matter for Practical Skeleton-Based Action Recognition
Mengyuan Liu, Fanyang Meng, Chen Chen et al.
Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables
Ehsan Mokhtarian, Mohmmadsadegh Khorasani, Jalal Etesami et al.
Now We’re Talking: Better Deliberation Groups through Submodular Optimization
Jake Barrett, Kobi Gal, Paul Gölz et al.
NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs
Haoran Luo, Haihong E, Yuhao Yang et al.
NuWLS: Improving Local Search for (Weighted) Partial MaxSAT by New Weighting Techniques
Yi Chu, Shaowei Cai, Chuan Luo
Occupancy Planes for Single-View RGB-D Human Reconstruction
Xiaoming Zhao, Yuan-Ting Hu, Zhongzheng Ren et al.
OctFormer: Efficient Octree-Based Transformer for Point Cloud Compression with Local Enhancement
Mingyue Cui, Junhua Long, Mingjian Feng et al.
ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data
Zhaolin Yuan, Xiaojuan Ban, Zixuan Zhang et al.
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching
Lantao Yu, Tianhe Yu, Jiaming Song et al.
Offline Quantum Reinforcement Learning in a Conservative Manner
Zhihao Cheng, Kaining Zhang, Li Shen et al.
Off-Policy Proximal Policy Optimization
Wenjia Meng, Qian Zheng, Gang Pan et al.
OMPQ: Orthogonal Mixed Precision Quantization
Yuexiao Ma, Taisong Jin, Xiawu Zheng et al.
On Analyzing the Role of Image for Visual-Enhanced Relation Extraction (Student Abstract)
Lei Li, Xiang Chen, Shuofei Qiao et al.
One-for-All: Proposal Masked Cross-Class Anomaly Detection
Xincheng Yao, Chongyang Zhang, Ruoqi Li et al.
One Is All: Bridging the Gap between Neural Radiance Fields Architectures with Progressive Volume Distillation
Shuangkang Fang, Weixin Xu, Heng Wang et al.
On Error and Compression Rates for Prototype Rules
Omer Kerem, Roi Weiss
One-Shot Replay: Boosting Incremental Object Detection via Retrospecting One Object
Dongbao Yang, Yu Zhou, Xiaopeng Hong et al.
On Generalized Degree Fairness in Graph Neural Networks
Zemin Liu, Trung-Kien Nguyen, Yuan Fang
On Grounded Planning for Embodied Tasks with Language Models
Bill Yuchen Lin, Chengsong Huang, Qian Liu et al.
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation
Thanh Nguyen-Tang, Ming Yin, Sunil Gupta et al.
Online Hyperparameter Optimization for Class-Incremental Learning
Yaoyao Liu, Yingying Li, Bernt Schiele et al.
Online Noisy Continual Relation Learning
Guozheng Li, Peng Wang, Qiqing Luo et al.